Artificial Intelligence Adoption and Economic Growth: Evidence from a Global Cross-Country Panel (2015–2024)
Abstract
This paper investigates the relationship between artificial intelligence (AI) adoption and economic growth across a global panel of sixty countries from 2015 to 2024. Using indicators such as AI adoption intensity, digital infrastructure, human capital, research and development (R&D) expenditure, and foreign direct investment (FDI), the study employs a fixed-effects regression framework to control for unobserved heterogeneity. The results reveal that AI adoption and digital infrastructure significantly enhance GDP growth, with human capital acting as a strong mediating factor. Although R&D and FDI contribute positively, their effects are less pronounced in developing economies. The findings underscore the importance of complementary investments in digital skills and infrastructure to fully capture the benefits of AI technologies. Policy recommendations include fostering AI capacity-building programs, expanding broadband connectivity, and promoting ethical and inclusive AI diffusion.
Keywords
Artificial Intelligence; Economic Growth; Digital Infrastructure; Human Capital; R&D; Panel Data; Fixed Effects.
Citations
IRE Journals:
Chukwuemeka Ifegwu Eke, PhD, Hassana Mamman "Artificial Intelligence Adoption and Economic Growth: Evidence from a Global Cross-Country Panel (2015–2024)" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 2488-2521 https://doi.org/10.64388/IREV9I5-1712415
IEEE:
Chukwuemeka Ifegwu Eke, PhD, Hassana Mamman
"Artificial Intelligence Adoption and Economic Growth: Evidence from a Global Cross-Country Panel (2015–2024)" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1712415
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